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Shop for Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.
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Time Series Forecasting Using Deep Learning: Combining Pytorch, RNN, TCN, and Deep Neural Network Models to Provide Production-ready Prediction Solutions [Book]
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Modern Time Series Forecasting with Python: Explore Industry-Ready Time Series Forecasting Using Modern Machine Learning and Deep Learning [Book]
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Time Series Forecasting in Python [Book]
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Forecasting Time Series Data with Facebook Prophet: Build, Improve, and Optimize Time Series Forecasting Models Using the Advanced Forecasting Tool [Book]
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Machine Learning for Time Series Forecasting with Python [Book]
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Practical Time Series Analysis: Prediction with Statistics and Machine Learning [Book]
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Deep Learning with R, Second Edition [Book]
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Deep Learning with TensorFlow and Keras: Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models [Book]
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Deep Learning in Time Series Analysis [Book]
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An Introductory Study on Time Series Modeling and Forecasting [Book]
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Deep Learning with JavaScript: Neural Networks in TensorFlow.js [Book]
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Practical Time Series Analysis [Book]
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Deep Learning Neural Networks: Design and Case Studies [Book]
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Deep Learning Architectures: A Mathematical Approach [Book]
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Digital Time Series Analysis [Book]
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Problems of Time Series Analysis [Book]
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Visual and Text Sentiment Analysis Through Hierarchical Deep Learning Networks [Book]
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Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR [Book]
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Enhancing Deep Learning with Bayesian Inference: Create More Powerful, Robust Deep Learning Systems with Bayesian Deep Learning in Python [Book]
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State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem [Book]
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